Drexel University

CCI’s Rosina Weber and Co-Authors Advance Privacy-Preserving Methods for AI Explainability

Explainable AI provides human users with tools to understand the output of machine learning algorithms. One of these tools, feature attributions, enables users to know the contribution of each feature ...
VentureBeat

What is explainable AI? Building trust in AI models

As AI-powered technologies proliferate in the enterprise, the term “explainable AI” (XAI) has entered mainstream vernacular. XAI is a set of tools, techniques, and frameworks intended to help users ...
National Academies of Sciences%2c Engineering%2c and Medicine

Human-AI Teaming: State-of-the-Art and Research Needs

Suggested Citation: "5 AI Transparency and Explainability." National Academies of Sciences, Engineering, and Medicine. 2022. Human-AI Teaming: State-of-the-Art and Research Needs. Washington, DC: The ...
dbta

TruEra Provides an Open Source Explainability Software Tool for Machine Learning Models Based on Neural Networks

TruEra, provider of a suite of AI quality solutions, is releasing TruLens, an open source explainability software tool for machine learning models that are based on neural networks. TruLens is a ...
InfoWorld

Explainable AI explained

While machine learning and deep learning models often produce good classifications and predictions, they are almost never perfect. Models almost always have some percentage of false positive and false ...
InfoWorld

4 key tests for your AI explainability toolkit

Enterprise-grade explainability solutions provide fundamental transparency into how machine learning models make decisions, as well as broader assessments of model quality and fairness. Is yours up to ...